LEADER 01031nam a2200265 i 4500 001 991000123499707536 005 20020503114351.0 008 010101s1999 uk ||| | eng 020 $a1873415192 035 $ab10033117-39ule_inst 035 $aocm00001195$9ExL 040 $aDip.to Beni Culturali$bita 100 1 $aTykot, Robert$0459827 245 10$aSocial dynamics of the Prehistoric Central Mediterranean /$cedited by Robert H. Tykot, Jonathan Morter, John E. Robb 260 $aLondon :$bAccordia Reasearch Institute,$c1999 300 $a229 p. ;$c29 cm 490 0 $aAccordia Specialist Studies on Italy ;$v3 700 1 $aMorter, Jonathan 700 1 $aRobb, John E. 907 $a.b10033117$b17-02-17$c31-05-02 912 $a991000123499707536 945 $aLE001 H1 112 4?$g1$i2001000022755$lle001$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i10036477$z31-05-02 996 $aSocial dynamics of the Prehistoric Central Mediterranean$9177651 997 $aUNISALENTO 998 $ale001$b01-01-01$cm$da $e-$feng$guk $h0$i1 LEADER 03355nam 22005655 450 001 9910741164703321 005 20251113195806.0 010 $a3-030-46044-4 024 7 $a10.1007/978-3-030-46044-0 035 $a(CKB)4100000011040422 035 $a(DE-He213)978-3-030-46044-0 035 $a(MiAaPQ)EBC6177186 035 $a(PPN)243762038 035 $a(MiAaPQ)EBC6177238 035 $a(EXLCZ)994100000011040422 100 $a20200416d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMarkov Chain Monte Carlo Methods in Quantum Field Theories $eA Modern Primer /$fby Anosh Joseph 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XIV, 126 p. 36 illus.) 225 1 $aSpringerBriefs in Physics,$x2191-5431 311 08$a3-030-46043-6 327 $aMonte Carlo Method for Integration -- Monte Carlo with Importance Sampling -- Markov Chains -- Markov Chain Monte Carlo -- MCMC and Feynman Path Integrals -- Reliability of Simulations -- Hybrid (Hamiltonian) Monte Carlo -- MCMC and Quantum Field Theories on a Lattice -- Machine Learning and Quantum Field Theories -- C++ Programs. 330 $aThis primer is a comprehensive collection of analytical and numerical techniques that can be used to extract the non-perturbative physics of quantum field theories. The intriguing connection between Euclidean Quantum Field Theories (QFTs) and statistical mechanics can be used to apply Markov Chain Monte Carlo (MCMC) methods to investigate strongly coupled QFTs. The overwhelming amount of reliable results coming from the field of lattice quantum chromodynamics stands out as an excellent example of MCMC methods in QFTs in action. MCMC methods have revealed the non-perturbative phase structures, symmetry breaking, and bound states of particles in QFTs. The applications also resulted in new outcomes due to cross-fertilization with research areas such as AdS/CFT correspondence in string theory and condensed matter physics. The book is aimed at advanced undergraduate students and graduate students in physics and applied mathematics, and researchers in MCMC simulations and QFTs. At the end of this book the reader will be able to apply the techniques learned to produce more independent and novel research in the field. 410 0$aSpringerBriefs in Physics,$x2191-5431 606 $aMathematical physics 606 $aElementary particles (Physics) 606 $aQuantum field theory 606 $aTheoretical, Mathematical and Computational Physics 606 $aElementary Particles, Quantum Field Theory 615 0$aMathematical physics. 615 0$aElementary particles (Physics). 615 0$aQuantum field theory. 615 14$aTheoretical, Mathematical and Computational Physics. 615 24$aElementary Particles, Quantum Field Theory. 676 $a530.143 676 $a518.282 700 $aJoseph$b Anosh$4aut$4http://id.loc.gov/vocabulary/relators/aut$0843206 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910741164703321 996 $aMarkov Chain Monte Carlo Methods in Quantum Field Theories$92087436 997 $aUNINA